Hi Everyone welcome to the blog where you are gonna see Here are top 12 TCS Data Science Gen AI Interview Question for experienced lateral entry candidates. Most […]
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Regularization Techniques: Methods like L1 (Lasso) and L2 (Ridge) regularization to prevent overfitting.
Regularization is a technique used to prevent overfitting in machine learning models by adding a penalty to the loss function, which discourages the model from becoming too complex. […]
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k-Nearest Neighbors (k-NN): A simple, instance-based learning algorithm for classification.
k-Nearest Neighbors (k-NN) is one of the simplest and most intuitive machine learning algorithms used primarily for classification, though it can also be applied to regression tasks. It’s […]
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Random Forest: An ensemble of decision trees that improves predictive accuracy.
Random Forest is an ensemble learning method that builds multiple decision trees and merges them together to get a more accurate and stable prediction. It’s one of the […]
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Decision Trees: A model that uses a tree-like graph of decisions and their possible consequences.
A decision tree is a supervised learning algorithm used for both classification and regression tasks. It models decisions and their possible consequences in a tree-like structure, where each […]
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Logistic Regression: Used for binary classification problems.
Logistic regression is a widely used statistical method for binary classification problems, where the outcome or target variable is categorical and typically has two possible values (e.g., 0/1, […]
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Linear Regression: Predicting a continuous outcome based on one or more input features.
Linear regression is a fundamental statistical method used to predict a continuous outcome (dependent variable) based on one or more input features (independent variables). The goal is to […]
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NTT Data Data Science Gen AI Interview Questions
Supervised machine learning is a foundational area in data science and machine learning. Here are some important topics within supervised machine learning: 1. Types of Supervised Learning Algorithms […]
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What is the difference between mean, median, and mode?
The mean, median, and mode are measures of central tendency, each providing different insights into the distribution of a dataset. Here’s how they differ: 1. Mean Definition: The […]
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Cognizant Interview Question Machine Learning
Here’s a list of important interview questions in statistics that are commonly asked in the context of Machine Learning: 1. Descriptive Statistics 2. Probability 3. Probability Distributions 4. […]